The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-20"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2472259 (up from 2401379 yesterday: 2.95 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "169986 (up from 165044 yesterday: 2.99 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.88



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 784326 25240 3.33 42094 1433 3.52 5.37
Spain 200210 1536 0.77 20852 399 1.95 10.42
Italy 181228 2256 1.26 24114 454 1.92 13.31
France 156480 2383 1.55 20292 548 2.78 12.97
Germany 147065 1881 1.30 4862 276 6.02 3.31
United Kingdom 125856 4684 3.87 16550 455 2.83 13.15
Turkey 90980 4674 5.42 2140 123 6.10 2.35
China 83817 12 0.01 4636 0 0.00 5.53
Iran 83505 1294 1.57 5209 91 1.78 6.24
Russia 47121 4268 9.96 405 44 12.19 0.86
Brazil 40743 2089 5.40 2587 125 5.08 6.35
Belgium 39983 1487 3.86 5828 145 2.55 14.58
Canada 37658 2025 5.68 1726 162 10.36 4.58
Netherlands 33588 750 2.28 3764 67 1.81 11.21
Switzerland 27944 204 0.74 1429 36 2.58 5.11
Portugal 20863 657 3.25 735 21 2.94 3.52
India 18539 924 5.25 592 33 5.90 3.19
Peru 16325 697 4.46 445 45 11.25 2.73
Ireland 15652 401 2.63 687 77 12.62 4.39
Austria 14795 46 0.31 470 18 3.98 3.18
Sweden 14777 392 2.73 1580 40 2.60 10.69
Israel 13713 222 1.65 177 5 2.91 1.29
Japan 10797 0 0.00 236 0 0.00 2.19
Korea, South 10674 13 0.12 236 2 0.85 2.21
Chile 10507 419 4.15 139 6 4.51 1.32
Saudi Arabia 10484 1122 11.98 103 6 6.19 0.98
Ecuador 10128 660 6.97 507 33 6.96 5.01
Poland 9593 306 3.29 380 20 5.56 3.96
Romania 8936 190 2.17 478 27 5.99 5.35
Pakistan 8418 70 0.84 176 8 4.76 2.09
Mexico 8261 764 10.19 686 36 5.54 8.30
Singapore 8014 1426 21.65 11 0 0.00 0.14
Denmark 7711 131 1.73 364 9 2.54 4.72
United Arab Emirates 7265 484 7.14 43 2 4.88 0.59
Norway 7156 78 1.10 181 16 9.70 2.53
Czechia 6900 154 2.28 194 8 4.30 2.81
Indonesia 6760 185 2.81 590 8 1.37 8.73
Serbia 6630 312 4.94 125 3 2.46 1.89
Australia 6547 0 0.00 67 0 0.00 1.02
Philippines 6459 200 3.20 428 19 4.65 6.63
Belarus 6264 1485 31.07 51 4 8.51 0.81
Qatar 6015 567 10.41 9 1 12.50 0.15
Ukraine 5710 261 4.79 151 10 7.09 2.64
Malaysia 5425 36 0.67 89 0 0.00 1.64
Dominican Republic 4964 284 6.07 235 9 3.98 4.73
Panama 4467 194 4.54 126 6 5.00 2.82
Colombia 3977 185 4.88 189 10 5.59 4.75
Finland 3868 85 2.25 98 4 4.26 2.53
Luxembourg 3558 8 0.23 75 2 2.74 2.11
Egypt 3333 189 6.01 250 11 4.60 7.50
South Africa 3300 142 4.50 58 4 7.41 1.76
Morocco 3046 191 6.69 143 2 1.42 4.69
Bangladesh 2948 492 20.03 101 10 10.99 3.43
Argentina 2941 102 3.59 136 4 3.03 4.62
Thailand 2792 27 0.98 47 0 0.00 1.68
Algeria 2718 89 3.39 384 9 2.40 14.13
Moldova 2548 76 3.07 70 3 4.48 2.75
Greece 2245 10 0.45 116 3 2.65 5.17
Kuwait 1995 80 4.18 9 2 28.57 0.45
Hungary 1984 68 3.55 199 10 5.29 10.03
Bahrain 1907 26 1.38 7 0 0.00 0.37
Croatia 1881 10 0.53 47 0 0.00 2.50
Kazakhstan 1852 176 10.50 19 2 11.76 1.03
Iceland 1773 2 0.11 10 1 11.11 0.56
Uzbekistan 1627 62 3.96 5 0 0.00 0.31
Iraq 1574 35 2.27 82 0 0.00 5.21
Estonia 1535 7 0.46 40 0 0.00 2.61
New Zealand 1440 9 0.63 12 0 0.00 0.83
Azerbaijan 1436 38 2.72 19 0 0.00 1.32
Oman 1410 144 11.37 7 0 0.00 0.50
Armenia 1339 48 3.72 22 2 10.00 1.64
Slovenia 1335 5 0.38 77 3 4.05 5.77
Lithuania 1326 28 2.16 37 2 5.71 2.79
Bosnia and Herzegovina 1309 24 1.87 49 1 2.08 3.74
North Macedonia 1225 18 1.49 54 3 5.88 4.41
Slovakia 1173 12 1.03 13 1 8.33 1.11
Cameroon 1163 146 14.36 42 0 0.00 3.61
Cuba 1087 52 5.02 36 2 5.88 3.31
Ghana 1042 0 0.00 9 0 0.00 0.86
Afghanistan 1026 30 3.01 36 3 9.09 3.51

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 253060 5245 2.12 18611 313 1.71 7.35 13008.42 956.69 1 in 77
New Jersey 88722 3421 4.01 4496 134 3.07 5.07 9988.75 506.18 1 in 100
Massachusetts 38077 0 0.00 1706 0 0.00 4.48 5479.10 245.49 1 in 183
Pennsylvania 33914 1012 3.08 1348 72 5.64 3.97 2649.12 105.30 1 in 377
California 33686 2255 7.17 1225 48 4.08 3.64 852.55 31.00 1 in 1173
Michigan 32000 576 1.83 2468 77 3.22 7.71 3204.21 247.12 1 in 312
Illinois 31513 1156 3.81 1349 59 4.57 4.28 2486.86 106.46 1 in 402
Florida 27059 745 2.83 822 48 6.20 3.04 1259.86 38.27 1 in 794
Louisiana 24523 595 2.49 1328 32 2.47 5.42 5275.13 285.67 1 in 190
Connecticut 19815 1853 10.32 1331 204 18.10 6.72 5557.76 373.32 1 in 180
Texas 19751 491 2.55 507 17 3.47 2.57 681.17 17.49 1 in 1468
Georgia 19407 1106 6.04 775 88 12.81 3.99 1827.84 72.99 1 in 547
Maryland 13684 837 6.52 582 121 26.25 4.25 2263.43 96.27 1 in 442
Ohio 12919 1317 11.35 509 38 8.07 3.94 1105.22 43.54 1 in 905
Washington 12114 -141 -1.15 643 7 1.10 5.31 1590.83 84.44 1 in 629
Indiana 11688 477 4.25 577 15 2.67 4.94 1736.13 85.71 1 in 576
Colorado 9730 0 0.00 420 0 0.00 4.32 1689.61 72.93 1 in 592
Virginia 8990 448 5.24 300 23 8.30 3.34 1053.25 35.15 1 in 949
Tennessee 7238 168 2.38 152 4 2.70 2.10 1059.24 22.24 1 in 944
North Carolina 6895 294 4.45 218 18 9.00 3.16 657.41 20.79 1 in 1521
Missouri 5890 147 2.56 200 1 0.50 3.40 959.69 32.59 1 in 1042
Rhode Island 5090 384 8.16 155 5 3.33 3.05 4804.78 146.31 1 in 208
Alabama 5079 191 3.91 163 6 3.82 3.21 1035.86 33.24 1 in 965
Arizona 5068 135 2.74 191 7 3.80 3.77 665.54 25.08 1 in 1503
Mississippi 4512 238 5.57 169 10 6.29 3.75 1516.05 56.78 1 in 660
Wisconsin 4499 153 3.52 230 10 4.55 5.11 772.70 39.50 1 in 1294
South Carolina 4446 69 1.58 123 3 2.50 2.77 863.52 23.89 1 in 1158
Nevada 3830 102 2.74 159 1 0.63 4.15 1243.44 51.62 1 in 804
Utah 3213 144 4.69 28 1 3.70 0.87 1002.20 8.73 1 in 998
Iowa 3159 257 8.86 79 4 5.33 2.50 1001.25 25.04 1 in 999
Kentucky 3050 90 3.04 154 8 5.48 5.05 682.68 34.47 1 in 1465
District of Columbia 2927 134 4.80 105 9 9.38 3.59 4147.37 148.78 1 in 241
Delaware 2745 207 8.16 72 5 7.46 2.62 2818.96 73.94 1 in 355
Oklahoma 2680 113 4.40 143 3 2.14 5.34 677.29 36.14 1 in 1476
Minnesota 2470 114 4.84 143 9 6.72 5.79 437.97 25.36 1 in 2283
Kansas 2048 143 7.51 102 9 9.68 4.98 702.98 35.01 1 in 1423
Arkansas 1973 192 10.78 41 2 5.13 2.08 653.78 13.59 1 in 1530
New Mexico 1971 126 6.83 58 3 5.45 2.94 939.99 27.66 1 in 1064
Oregon 1957 47 2.46 75 1 1.35 3.83 463.99 17.78 1 in 2155
South Dakota 1685 50 3.06 7 0 0.00 0.42 1904.69 7.91 1 in 525
Idaho 1672 4 0.24 45 1 2.27 2.69 933.00 25.11 1 in 1072
Nebraska 1648 174 11.80 33 5 17.86 2.00 851.94 17.06 1 in 1174
New Hampshire 1447 57 4.10 42 4 10.53 2.90 1064.20 30.89 1 in 940
Puerto Rico 1252 39 3.22 63 1 1.61 5.03 392.02 19.73 1 in 2551
West Virginia 902 12 1.35 24 6 33.33 2.66 504.72 13.43 1 in 1981
Maine 875 8 0.92 35 1 2.94 4.00 650.94 26.04 1 in 1536
Vermont 816 3 0.37 38 0 0.00 4.66 1307.72 60.90 1 in 765
North Dakota 627 42 7.18 9 0 0.00 1.44 822.77 11.81 1 in 1215
Hawaii 584 4 0.69 10 0 0.00 1.71 412.47 7.06 1 in 2424
Montana 433 0 0.00 10 0 0.00 2.31 405.14 9.36 1 in 2468
Alaska 321 2 0.63 9 0 0.00 2.80 438.80 12.30 1 in 2279
Wyoming 317 4 1.28 2 0 0.00 0.63 547.72 3.46 1 in 1826

US Tested- Confirmed- Hospitalized Funnel (All States)

##

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 633861 253060 57103 39.92 22.57 32583.29
New Jersey 178057 88722 6986 49.83 7.87 20046.52
Massachusetts 162241 38077 3729 23.47 9.79 23345.70
Pennsylvania 162952 33914 2701 20.81 7.96 12728.65
California 290500 33686 4674 11.60 13.88 7352.16
Michigan 113798 32000 3374 28.12 10.54 11394.78
Illinois 148358 31513 4599 21.24 14.59 11707.71
Florida 266225 27059 4010 10.16 14.82 12395.39
Louisiana 142099 24523 1794 17.26 7.32 30566.85
Connecticut 62806 19815 1919 31.55 9.68 17615.97
Texas 190394 19751 1411 10.37 7.14 6566.24
Georgia 84328 19407 3550 23.01 18.29 7942.42
Maryland 71397 13684 3014 19.17 22.03 11809.59
Ohio 90436 12919 2653 14.29 20.54 7736.78
Washington 138642 12114 403 8.74 3.33 18206.69
Indiana 64639 11688 NA 18.08 NA 9601.44
Colorado 46195 9730 1813 21.06 18.63 8021.73
Virginia 56735 8990 1500 15.85 16.69 6646.93
Tennessee 100689 7238 730 7.19 10.09 14735.32
North Carolina 79484 6895 373 8.67 5.41 7578.51
Missouri 56013 5890 873 10.52 14.82 9126.46
Rhode Island 37080 5090 331 13.73 6.50 35002.23
Alabama 45900 5079 641 11.07 12.62 9361.26
Arizona 54500 5068 637 9.30 12.57 7157.03
Mississippi 51434 4512 819 8.77 18.15 17282.06
Wisconsin 51102 4499 1211 8.80 26.92 8776.74
South Carolina 40480 4446 776 10.98 17.45 7862.16
Nevada 32347 3830 NA 11.84 NA 10501.74
Utah 68311 3213 268 4.70 8.34 21307.52
Iowa 25820 3159 214 12.23 6.77 8183.65
Kentucky 32572 3050 1059 9.36 34.72 7290.60
District of Columbia 14113 2927 402 20.74 13.73 19997.19
Delaware 16470 2745 256 16.67 9.33 16913.75
Oklahoma 35646 2680 541 7.52 20.19 9008.41
Minnesota 46850 2470 602 5.27 24.37 8307.28
Kansas 18761 2048 405 10.92 19.78 6439.75
Arkansas 26553 1973 291 7.43 14.75 8798.72
New Mexico 37042 1971 274 5.32 13.90 17665.72
Oregon 40045 1957 465 4.89 23.76 9494.43
South Dakota 12326 1685 87 13.67 5.16 13933.05
Idaho 17445 1672 151 9.58 9.03 9734.58
Nebraska 15680 1648 NA 10.51 NA 8105.84
New Hampshire 14118 1447 198 10.25 13.68 10383.09
Puerto Rico 9738 1252 NA 12.86 NA 3049.13
West Virginia 22155 902 77 4.07 8.54 12396.85
Maine 14951 875 138 5.85 15.77 11122.50
Vermont 12981 816 49 6.29 6.00 20803.25
North Dakota 14747 627 53 4.25 8.45 19351.44
Hawaii 24175 584 52 2.42 8.90 17074.28
Montana 11051 433 57 3.92 13.16 10339.85
Alaska 10124 321 46 3.17 14.33 13839.20
Wyoming 7386 317 51 4.29 16.09 12761.79

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 4666 466 11.10 572 12.26 3862 232 9 4.04 4.97
Delhi 2081 78 3.89 431 20.71 1603 47 2 4.44 2.26
Gujarat 1939 196 11.24 131 6.76 1737 71 8 12.70 3.66
Rajasthan 1576 98 6.63 205 13.01 1346 25 2 8.70 1.59
Tamil Nadu 1520 43 2.91 457 30.07 1046 17 2 13.33 1.12
Madhya Pradesh 1485 78 5.54 138 9.29 1271 76 4 5.56 5.12
Uttar Pradesh 1184 84 7.64 140 11.82 1026 18 1 5.88 1.52
Telangana 872 14 1.63 186 21.33 663 23 2 9.52 2.64
Andhra Pradesh 722 75 11.59 92 12.74 610 20 3 17.65 2.77
Karnataka 408 18 4.62 112 27.45 280 16 0 0.00 3.92
Kerala 407 6 1.50 291 71.50 114 2 0 0.00 0.49
Jammu and Kashmir 368 14 3.95 71 19.29 292 5 0 0.00 1.36
West Bengal 339 29 9.35 66 19.47 261 12 0 0.00 3.54
Haryana 251 1 0.40 141 56.18 107 3 0 0.00 1.20
Punjab 245 1 0.41 38 15.51 191 16 0 0.00 6.53
Bihar 113 17 17.71 42 37.17 69 2 0 0.00 1.77
Odisha 74 13 21.31 24 32.43 49 1 0 0.00 1.35
Uttarakhand 46 2 4.55 18 39.13 28 0 0 NaN 0.00
Jharkhand 42 1 2.44 4 9.52 36 2 0 0.00 4.76
Himachal Pradesh 39 0 0.00 16 41.03 21 2 0 0.00 5.13
Chhattisgarh 36 0 0.00 25 69.44 11 0 0 NaN 0.00
Assam 35 1 2.94 19 54.29 15 1 0 0.00 2.86
Chandigarh 26 0 0.00 14 53.85 12 0 0 NaN 0.00
Ladakh 18 0 0.00 14 77.78 4 0 0 NaN 0.00
Andaman and Nicobar Islands 16 1 6.67 11 68.75 5 0 0 NaN 0.00
Meghalaya 11 0 0.00 0 0.00 10 1 0 0.00 9.09
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Puducherry 7 0 0.00 4 57.14 3 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 -1 -100.00 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 270486 66971 735 1.11 24.76 10138 901 34587 12376 18.48
Emilia-Romagna 129530 22867 307 1.36 17.65 3144 283 13522 3079 13.46
Piemonte 99669 21349 292 1.39 21.42 3299 301 14557 2409 11.28
Veneto 260810 16127 192 1.20 6.18 1273 180 10061 1112 6.90
Toscana 105857 8507 135 1.61 8.04 850 182 6568 667 7.84
Liguria 33007 6669 141 2.16 20.20 878 102 3496 957 14.35
Marche 42782 5826 57 0.99 13.62 792 80 3212 822 14.11
Lazio 97823 5815 60 1.04 5.94 1388 185 4365 349 6.00
Campania 51090 4074 45 1.12 7.97 586 61 3019 309 7.58
P.A. Trento 26211 3590 58 1.64 13.70 272 40 1929 366 10.19
Puglia 44189 3567 38 1.08 8.07 584 66 2810 326 9.14
Friuli Venezia Giulia 45161 2775 30 1.09 6.14 140 22 1190 239 8.61
Sicilia 51373 2759 42 1.55 5.37 526 39 2210 203 7.36
Abruzzo 27942 2612 91 3.61 9.35 320 38 2062 263 10.07
P.A. Bolzano 31381 2394 14 0.59 7.63 160 19 1540 249 10.40
Umbria 25562 1349 1 0.07 5.28 113 29 424 58 4.30
Sardegna 15328 1228 13 1.07 8.01 115 21 854 86 7.00
Valle d’Aosta 4799 1088 0 0.00 22.67 102 8 548 127 11.67
Calabria 24373 1038 3 0.29 4.26 140 7 828 75 7.23
Basilicata 6868 342 0 0.00 4.98 59 7 242 24 7.02
Molise 3783 281 2 0.72 7.43 27 2 213 18 6.41

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 19319 1369 7.63 939 119 14.51 4.86 2262.79 109.98 1 in 442
Ontario 12063 502 4.34 624 33 5.58 5.17 819.95 42.41 1 in 1220
Alberta 2908 105 3.75 59 8 15.69 2.03 658.94 13.37 1 in 1518
British Columbia 1647 0 0.00 82 1 1.23 4.98 322.25 16.04 1 in 3103
Nova Scotia 721 46 6.81 9 0 0.00 1.25 737.63 9.21 1 in 1356
Saskatchewan 316 1 0.32 4 0 0.00 1.27 267.42 3.39 1 in 3739
Newfoundland and Labrador 257 0 0.00 3 0 0.00 1.17 492.94 5.75 1 in 2029
Manitoba 254 0 0.00 6 1 20.00 2.36 184.39 4.36 1 in 5423
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 2 22.22 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1581 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1025 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 905 13 1.44
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 638 7 1.10
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 256 3 1.17
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 194 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 104 1 0.96
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2397.08 128.65 1 in 417
Spain 4290.83 446.89 1 in 233
Italy 2996.49 398.71 1 in 334
France 2335.87 302.91 1 in 428
Germany 1776.36 58.73 1 in 563
United Kingdom 1894.28 249.10 1 in 528
Turkey 1125.85 26.48 1 in 888
China 60.47 3.34 1 in 16536
Iran 1028.89 64.18 1 in 972
Russia 326.10 2.80 1 in 3067
Brazil 194.66 12.36 1 in 5137
Belgium 3507.28 511.23 1 in 285
Canada 1001.81 45.92 1 in 998
Netherlands 1955.06 219.09 1 in 511
Switzerland 3260.68 166.74 1 in 307
Portugal 2027.50 71.43 1 in 493
India 13.85 0.44 1 in 72226
Peru 507.46 13.83 1 in 1971
Ireland 3240.58 142.24 1 in 309
Austria 1677.06 53.28 1 in 596

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 141235 14604 10.34
Nassau New York 30677 1329 4.33
Suffolk New York 28127 859 3.05
Westchester New York 24306 776 3.19
Cook Illinois 22101 915 4.14
Wayne Michigan 13912 1148 8.25
Los Angeles California 13823 619 4.48
Bergen New Jersey 13011 787 6.05
Hudson New Jersey 11150 612 5.49
Essex New Jersey 10729 751 7.00
Union New Jersey 9972 387 3.88
Miami-Dade Florida 9657 223 2.31
Philadelphia Pennsylvania 9553 370 3.87
Rockland New York 9457 334 3.53
Middlesex Massachusetts 8737 372 4.26
Passaic New Jersey 8479 263 3.10
Middlesex New Jersey 8346 345 4.13
Fairfield Connecticut 8320 512 6.15
Suffolk Massachusetts 8074 236 2.92
Orange New York 6514 211 3.24
Oakland Michigan 6178 479 7.75
Orleans Louisiana 6148 339 5.51
Jefferson Louisiana 5761 286 4.96
New Haven Connecticut 5272 301 5.71
King Washington 5174 346 6.69
Essex Massachusetts 5153 209 4.06
Harris Texas 4977 78 1.57
Ocean New Jersey 4868 222 4.56
Monmouth New Jersey 4787 230 4.80
Macomb Michigan 4425 403 9.11
Morris New Jersey 4236 269 6.35
Broward Florida 4078 122 2.99
Marion Indiana 4052 192 4.74
Hartford Connecticut 3823 369 9.65
Norfolk Massachusetts 3789 244 6.44
Prince George’s Maryland 3583 112 3.13
Providence Rhode Island 3491 3 0.09
Worcester Massachusetts 3069 114 3.71
Montgomery Pennsylvania 3040 184 6.05
Clark Nevada 2998 137 4.57
District of Columbia District of Columbia 2927 105 3.59
Riverside California 2847 85 2.99
Plymouth Massachusetts 2832 131 4.63
Montgomery Maryland 2647 106 4.00
Maricopa Arizona 2636 75 2.85
Mercer New Jersey 2591 122 4.71
Delaware Pennsylvania 2545 100 3.93
Dallas Texas 2512 60 2.39
Somerset New Jersey 2488 170 6.83
Hampden Massachusetts 2337 211 9.03

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc